stt-en-fastconformer-ctc-xlarge-GGUF

GGUF quantisations of nvidia/stt_en_fastconformer_ctc_xlarge for CrispASR.

Quant	Description
F16	Full precision
Q8_0	8-bit
Q5_0	5-bit
Q4_K	4-bit K-quant (recommended)

Usage

crispasr -m stt-en-fastconformer-ctc-xlarge-q4_k.gguf -f audio.wav

Provenance and EU AI Act Art. 53 note

• Upstream model: nvidia/stt_en_fastconformer_ctc_xlarge — published by nvidia.
• Upstream licence: cc-by-4.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.